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Filtering by: Creator Gupta, R. Remove constraint Creator: Gupta, R. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • New Strategies to Develop Hidden Markov Models Combining KEGG and Pfam

    Creator:
    Gupta, Sonica
    Abstract:
    Profile Hidden Markov Models utilize the information stored in a multiple sequence alignment such as its residues and conserved regions to assign probabilities at each column. This indicates areas in the sequences where similar functionality is observed. These probability weights are then combined to assign a sequence score, which is...
    Resource Type:
    Honors College Thesis
    Full Text:
    Combining KEGG and Pfam by Sonica Gupta A THESIS submitted to

  • Applying the Technology Acceptance Model to Understand the Intention to Use a CS-based Curriculum

    Creator:
    Gupta, Ayushi
    Abstract:
    In the ever-evolving field of computer science (CS) education, the significance of teachers and their backgrounds have often been overshadowed by the predominant focus on students. Teachers in the K-12 often lack the necessary expertise and have limited support provided by existing CS-based curricula. While research on CS education effectiveness...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Ayushi Gupta for

  • Empirical studies of a spreadsheet maintenance experiment

    Creator:
    Krishna, Vijay B.
    Abstract:
    Spreadsheet language programs, which include commercial spreadsheets, are among the most common form of software in use today. Unlike more "traditional" forms of software however, spreadsheet language programs are created and maintained by end-users with little or no programming experience. As a result, a high percentage of these programs contain...
    Resource Type:
    Masters Thesis
    Full Text:
    ~..................,................... _..... ·············- 0 I ~ 1-400 jp,aln-J an I' j 1 660 'lIK..;_n tall_m,.r Figure 1: Pizza sales spreadsheet

  • Empirical studies of a WYSIWYT testing methodology

    Creator:
    Rothermel, Karen J.
    Abstract:
    Is it possible to achieve some of the benefits of formal testing within the informal programming conventions of the spreadsheet paradigm? We investigate an approach that attempts to do so via the development of a testing methodology for this paradigm. The "What You See Is What You Test" (WYSIWYT) methodology...
    Resource Type:
    Masters Thesis
    Full Text:
    Curtis R. Cook Is it possible to achieve some of the benefits of formal testing within the in- formal

  • End-user assertions in forms/3 : an empirical study

    Creator:
    Wallace, Christine A.
    Abstract:
    Spreadsheets are arguably the most widely used programming language in use today, yet spreadsheets commonly contain errors. Research shows that regardless of the experience of the end user, an alarming number of spreadsheets contain errors (91% in recent field audits). Most spreadsheets are created by end users with little or...
    Resource Type:
    Masters Thesis
    Full Text:
    course, I want to thank my major professor Dr. Curtis R. Cook who always made time for me. He guided

  • Learning Based Anomaly Detection for Industrial Arm Applications

    Creator:
    Narayanan, Vedanth
    Abstract:
    Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient through automation and integration of networked information systems. Robotic arms are integral to this vision. However the benefits of SM, enabled by automation and networking, also come with cyber risks. In this work, we propose an anomaly detection framework...
    Resource Type:
    Capstone Project

  • On edge disjoint Hamiltonian cycles in torus and Gaussian networks

    Creator:
    Alazemi, Fawaz M.
    Abstract:
    Many algorithms in parallel systems can be easily solved if we can generate a Hamiltonian cycle on the underly network. Finding Hamiltonian cycle is a well known NP-complete problem. For specific instances of regular graphs, such as Torus and Gaussian network, one can easily find Hamiltonian cycles. In this thesis,...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2.1 n = 2r EDHC on Tnk where r ≥ 0 and k ≥ 3 . . . . . . . . . . . . 8 2.2.2 EDHC on Gα

  • Some contributions to asymmetric error control codes

    Creator:
    Elmougy, Samir
    Abstract:
    In some practical systems, most of the errors are of 1 → 0 type and 0 → 1 errors occur very rarely. In this thesis, first, the capacity of the asymmetric channel is derived. The capacity of the binary symmetric channel (BSC) and the Z-channel can be derived from this...
    Resource Type:
    Dissertation
    Full Text:
    errors using r = 2 check bits and up to m2 + r 2 errors using r > 2 check bits. Some upper bound on the

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    almost as good as mask R-CNN without depending on a two-stage framework. Note that the training of the